AI Data Engineer

This is a fully remote position, open to applicants in New Hampshire, +4 more states.

📋 Description

• Collaborate with data scientists and machine learning engineers to comprehend data requirements for LLM and machine learning model fine-tuning.

• Design, construct, and maintain scalable data pipelines to ingest, process, and store extensive and varied healthcare datasets.

• Implement strong data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets.

• Establish robust data cleaning, validation, and transformation procedures to guarantee data quality and integrity.

• Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models.

• Collaborate with the team to identify and acquire new data sources, ensuring compliance with pertinent healthcare regulations (e.g., HIPAA).

• Monitor the performance of data pipelines, troubleshoot issues, and implement optimizations to enhance efficiency and reliability.

• Document data engineering processes, data models, and data dictionaries.

• Stay informed about the latest advancements in data engineering, big data technologies, and machine learning.

⛳️ Requirements

• Required

• - Bachelor's degree in Computer Science, Engineering, or a related discipline.

• - Demonstrated experience as a Data Engineer, with an emphasis on big data technologies.

• - Strong expertise in programming languages such as Python, Scala, or Java.

• - Extensive experience with data warehousing, ETL processes, and data modeling.

• - Familiarity with major cloud service providers (e.g., AWS, GCP, Azure) and their data storage and processing services.

• - Practical experience with big data frameworks like Apache Spark for distributed processing.

• - Exceptional problem-solving abilities and the capability to work both independently and as part of a team.

• - Strong communication and interpersonal skills.

• Preferred

• - Master’s degree in a related field.

• - Experience with healthcare data and a solid understanding of healthcare data standards (e.g., FHIR, HL7).

• - Familiarity with machine learning concepts and LLM fine-tuning processes.

• - Experience with data orchestration tools (e.g., Apache Airflow).

• Work Authorization:

• - Must be a US Citizen, Green Card holder, or currently in the US with a valid H1B visa.

🏝️ Benefits

• Why Join Us?

• Joining C the Signs is not merely about developing AI; it’s about molding the future of healthcare. If you are a technical leader who firmly believes in the potential of AI to save lives and possesses the capability to implement it on a large scale, this is your chance to make a significant, global impact.

• Benefits:

• - Competitive salary and benefits package.

• - Flexible working arrangements (remote or hybrid options available).

• - Opportunity to work on transformative AI technology that directly affects patient outcomes.

• - Join a team that blends cutting-edge innovation with a mission to save lives and enhance health equity.

• - Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.